Conversational Designer

Job not on LinkedIn

March 29

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Logo of modal

modal

B2B • eCommerce • Hospitality

Modal is a conversational platform designed for hospitality brands, enabling efficient 1:1 communications between guests and staff. It integrates with various conversational channels such as Alexa and WhatsApp, enhancing customer experiences by allowing voice-activated services, real-time interaction, and insightful analytics. Modal aims to reshape customer service in the hospitality sector, making it more personalized and efficient through advanced conversation tools and AI-driven insights.

2 - 10 employees

Founded 2018

🤝 B2B

🛍️ eCommerce

📋 Description

• Play a key part in defining the data culture within Modal. • Ensure principled, data-driven decision-making processes. • Work on numerous zero-to-one projects with a direct impact on product direction. • Collaborate with product and engineering teams on high-profile feature launches. • Perform and share complex analyses that inform a variety of decisions. • Play a hands-on role in product launches to understand impact on users and identify potential issues early. • Conduct foundational analysis on important, unsolved questions across various problem spaces. • Critical voice and significant influence over the direction of the company as an early team member.

🎯 Requirements

• Curious, inquisitive, and enjoy solving ambiguous, open-ended problems. • Able to identify high-impact problem areas with little direction. • Healthy skepticism about data and know when to dig deeper into a problem. • Technical skills to work independently. • Comfortable with advanced modeling and statistical techniques. • Highly fluent in SQL and Python. • Deep experience with experiment design and analysis. • Strong communicator and able to explain complex concepts to a wide audience. • Adept at crafting clear and impactful data visualizations. • Meticulous and forthright. • Experienced with finding clear answers despite messy data sets. • Able to catch data issues as they arise. • Ideally, experience as a data scientist at a fast-growing company with a proven record of impact.

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